เงื่อนไขการค้นหา

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Python, SQL, Database Administration, English, Thai

ประเภทงาน:

งานประจำ

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
• Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
• Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
• Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
• Technical Execution & Supervision.
• Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
• Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
• Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
• Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
• Business Impact & Innovation.
• Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
• Monitor and assess emerging market and consumer trends to guide future business strategies.
• Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
• Foster a culture of innovation and continuous improvement in analytics practice.
• Education & Experience.
• Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
• Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
• Experience in retail, customer analytics, or digital transformation environments is preferred..
• Technical Skills.
• Proficiency in Python, SQL, and PySpark for data analysis and model development..
• Solid understanding of machine learning, AI, and statistical modeling frameworks..
• Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
• Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..

ทักษะ:

Statistics, Research, Problem Solving

ประเภทงาน:

งานประจำ

• Business Analysis and Management: Global Business Solutions-APAC business data analysis, develop strategic planning, provide solutions and implementation plans; based on the understanding and analysis of the specific business domains, continuous optimize control rules, product tools and business operations, to provide strong support for the implementation of the strategy;.
• Regular monitoring and data analysis on various business metrics of Outbound E-commerce, and provide corresponding solutions to assist the platform Sales team to contin ...
• Business puzzle breakdown: familiar with Outbound e-commerce rules, deeply support Sales and CST team leader to do project task break-down, prioritization, monitoring important business progress; able to measure project output and efficiency through quantitative and qualitative analysis.
• Minimum QualificationsBachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;.
• experience in research and analysis positions in consulting, e-commerce/ads is preferred.
• Preferred QualificationsOutstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;.
• Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;.
• Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;.
• Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
• If you have any questions, please reach out to us at [email protected].
• Job Information
• About TikTok
• TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
• Why Join Us
• Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
• We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
• Diversity & Inclusion
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ทักษะ:

Power BI, Tableau, Statistics

ประเภทงาน:

งานประจำ

• Conduct data collection, cleaning, and exploratory analysis to support retail-related use cases such as customer insights and product performance.
• Assist in developing and evaluating machine learning models for forecasting, segmentation, recommendation, and customer behavior analysis.
• Support GenAI and LLM-related tasks, including text classification, summarization, embedding generation, prompt testing, and preparation of datasets for NLP or RAG-style workflows.
• Prepare and document features for analytics and machine learning workflows, ensuring data quality and reproducibility.
• Build dashboards and visualizations using Power BI, Tableau, Plotly, or matplotlib to present insights to business stakeholders.
• Collaborate with senior data scientists, data engineers, and business teams to understand requirements and translate them into analytical tasks.
• Participate in team knowledge-sharing sessions and continuously develop technical skills.
• Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of two years of experience in data analytics or data science.
• Proficiency in Python, including pandas, numpy, and scikit-learn.
• Strong SQL skills for working with large datasets.
• Understanding of common machine learning techniques such as regression, classification, and clustering.
• Exposure to GenAI or LLM tools and libraries such as Hugging Face, LangChain, or OpenAI APIs.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Experience with basic NLP tasks such as tokenization, text cleaning, or embedding generation.
• Hands-on experimentation with LLMs or GenAI workflows.
• Familiarity with Git or collaborative coding practices.
• Experience in retail, e-commerce, or consumer analytics environments.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ทักษะ:

Sales, Negotiation, Software Development, English

ประเภทงาน:

งานประจำ

• Provide technical consultancy and design solutions for Enterprise Customers, primarily focusing on Enterprise Data Service products.
• Support the Sales team with technical opportunities, prepare technical proposals, and respond to customer requirements.
• Take ownership of customer solutions and architecture design, including solution costing.
• Collaborate with vendors, providers, and partners to optimize project investment costs for enhanced competitiveness.
• Coordinate and hand over customer solutions to the delivery and operation teams.
• Coordinate with vendors and partners to explore new potential technologies.
• Share technical and service knowledge with internal stakeholders.
• Bachelor of Engineering (Computer, IT, Telecommunication) or Computer Science.
• 5-8 years of experience in IT, Telecommunication, Data Communication Service, Pre-Sales, Post-Sales, or IP Network Operations & Planning.
• At least 5 years of professional experience as a Pre-Sales Engineer in a technical environment.
• Excellent presentation and negotiation skills.
• Strong analytical skills, excellent interpersonal and communication skills.
• Fluency in English is preferable.
• Strong knowledge and experience in Optical, DWDM, MPLS, and Routing are preferable.
• Extensive experience in the ISP, Internet peering, and International connectivity industry is preferable.
• Relevant software development experience or commercial/sales experience.
• Ability to understand and determine an enterprise customer's needs and how AIS's products and solutions might best fit through a consultative approach.
• Ability to thrive in a fast-paced environment, set demanding expectations, and consistently exceed them.
• Must be organized, a self-starter, and capable of delivering high-quality work without constant tactical oversight.

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Apache, Compliance, Automation

ประเภทงาน:

งานประจำ

• Design, develop, and maintain robust and scalable data pipelines using tools such as Apache Airflow, PySpark, and cloud-native services (e.g., Azure Data Factory, Microsoft Fabric Pipelines)..
• Manage data ingestion from APIs, files, and databases into data lakes or data warehouses (e.g., Microsoft Fabric Lakehouse, Iceberg, DWS)..
• Ensure seamless data integration across on-premise, cloud, and hybrid environments..
• Implement data validation, standardization, and transformation to ensure high data quality..
• Apply data encryption, masking, and compliance controls to maintain security and privacy standards..
• AI & Intelligent AutomationCollaborate with Data Scientists to deploy ML models and integrate predictive insights into production pipelines (e.g., using Azure Machine Learning or Fabric Notebooks)..
• Support AI-powered automation and data insight generation through tools like Microsoft Co-pilot Studio or LLM-powered interfaces (chat-to-data)..
• Assist in building lightweight AI chatbots or agents that leverage existing datasets to enhance business efficiency..
• Qualifications & Skills3-5+ years of experience in Data Engineering or AI Engineering roles.
• Proficiency in Python, SQL, and big data frameworks (Apache Airflow, Spark, PySpark)..
• Experience with cloud platforms: Azure, Huawei Cloud, or AWS.
• Familiar with Microsoft Fabric services: OneLake, Lakehouse, Notebooks, Pipelines, and Real-Time Analytics..
• Hands-on with Microsoft Co-pilot Studio to design chatbots, agents, or LLM-based solutions..
• Experience in ML model deployment using Azure ML, ModelArts, or similar platforms.
• Understanding of vector databases (e.g., Qdrant), LLM orchestration (e.g., LangChain), and prompt engineering is a plus.

ทักษะ:

Assurance

ประเภทงาน:

งานประจำ

• Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
• Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
• Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
• Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
• Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
• Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
• Prepare analysis reports to support management strategies and assess risks in various areas.
• Perform other duties as assigned by the supervisor..

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Business Statistics / Analysis, English

ประเภทงาน:

งานประจำ

• To communicate and coordinate with all channels of sales team to re-confirm output and training..
• To activate/implement special project; to monitor operation and define the key success factor..
• Planning and monitoring all sales operation in TT channel of sales system smoothly..
• Work closely with the team to understand their data needs and provide actionable insights..
• Initiate, design big picture by canvas tools to support team..
• Job Qualification.
• Bachelor's Degree in Business Administration, Computer Science or related fields..
• Have at least 1-3 years' experience of Support sales team and design BI dashboard..
• Strong in BI Dashboard and Data Analysis and can design visualize presentation..
• Able to clearly communication with internal and external, easy-to-understand and actionable way..
• Able manage multiple projects simultaneously with attention to detail..
• Works well with cross-functional teams, stays flexible and solution-oriented in dynamic environments..
• Stays positive and solutions-focused under pressure..
• Fluency in spoken & written English..

ทักษะ:

Power BI, Python, SQL

ประเภทงาน:

งานประจำ

• Power BI, Python, SQL Query.
• Experienced in managing Big Data - 10 million+ Rows.
• Experienced in FMCG is preferrable.
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis) โดยการเก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีม.
• ตำแหน่งงานนี้จำเป็นต้องผ่านการตรวจสอบประวัติอาชญากรรมตามหลักเกณฑ์ที่บริษัทกำหนด ***.

ประเภทงาน:

งานประจำ

• Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
• Develop data pipeline automation using Azure technologies, Databricks and Data Factory
• Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects
• Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes
• 3 years+ experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Power BI, Excel

ประเภทงาน:

งานประจำ

• Interpret data, analyze results using statistical techniques and provide reports.
• Design, develop and maintain ongoing metrics/ dashboard to help drive key business opportunities.
• Utilize company resources to visualize data in clear and concise dashboards, using tools such as Power BI and other tools.
• Ability to enhanced data quality and completeness also allow business process redesign and align with business strategy.
• Respond to ad-hoc requests for business analysis.
• Bachelor s/Master s degree, preferably in Business, Data Analytics, Computer Sci. or related field.
• Minimum 1 - 3 years of experience in Data Analytics or related roles.
• Have solid knowledge in data analysis and visualize techniques.
• Excellent communication and interpersonal skill.
• Adept at queries, report writing and presenting findings.
• Able to share and suggest ideas.
• Excellent in Excel & Power BI.

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• การวิเคราะห์ข้อมูล (Data Analysis).
• กำหนดแหล่งข้อมูลและรวบรวมข้อมูลจากแหล่งต่างๆ.
• Cleaning ข้อมูลตรวจสอบความถูกต้อง และ จัดการข้อมูลที่ยังไม่ครบถ้วนให้สมบูรณ์.
• วิเคราะห์ข้อมูลโดยใช้สถิติ, เครื่องมือวิเคราะห์ และสร้างภาพข้อมูล (Data Visualization) เพื่อค้นหาแนวโน้มและข้อมูลเชิงลึก.
• สร้างรายงานและแดชบอร์ด (Dashboards) เพื่อนำเสนอผลการวิเคราะห์ให้กับผู้บริหารและทีมงาน.
• วิเคราะห์พฤติกรรมลูกค้า, รูปแบบการขาย หรือกระบวนการทำงานของหน่วยงาน Product รวมถึงกลุ่มลูกค้า เพื่อแก้ปัญหาและหาแนวทางปรับปรุง.
• การพัฒนาและปรับปรุงกระบวนการทำงาน (Process Development) โดยใช้ข้อมูลเชิงลึกที่ได้จากการวิเคราะห์มาช่วยแก้ไขปัญหาและปรับปรุงกระบวนการทำงานให้มีประสิทธิภาพมากขึ้น.
• พัฒนากระบวนการหรือเครื่องมือในการเก็บรวบรวมและใช้ข้อมูลให้เกิดประโยชน์สูงสุด.
• ร่วมพัฒนาระบบรายงานให้สอดคล้องกับความต้องการของแต่ละส่วนงานในองค์กร.
• Specification.
• อายุ 35 ปี ขึ้นไป.
• ปริญญาตรี สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำงานด้านวิเคราะห์ข้อมูล พัฒนารูปแบบ มาตรฐานการปฏิบัติงานของ Operation นอกจากนี้ การวิเคราะห์ปัญหา แล้วนำมากำหนดรูปแบบ แนวทางการปฏิบัติงานใหม่ๆ การสื่อสาร การให้คำแนะนำผู้ที่เกี่ยวข้อง พร้อมผลักดันให้เกิดการเปลี่ยนแปลงได้อย่างเป็นรูปธรรม วัดผลได้.
• ประสบการณ์ในการทำงาน อย่างน้อย 3 ปีขึ้นไป.
• หากมีประสบการณ์ตรงดูแลงานด้านการวิเคราะห์งาน Operation จะพิจารณาเป็นพิเศษ.
• มีความเป็นผู้นำ มุ่งมั่น ชอบงานขายและงานบริการ ทั้งลูกค้าภายใน และภายนอก.
• มีทักษะการสื่อสาร โน้มน้าว เจรจา แก้ปัญหาเฉพาะหน้าได้ดี.
• Key Competencies.
• มีความสามารถในการเรียนรู้ ความหลากหลายของรูปแบบสินค้าและบริการใหม่ๆ ได้ดี.
• ความสามารถในการนำเสนอ โน้มน้าว เพื่อให้เกิดการเปลี่ยนแปลง.
• ความสามารถในการติดตามงาน รวมไปถึงช่วยเหลือทีมงาน เพื่อรองรับการเปลี่ยนแปลง และให้บริการลูกค้าได้เป็นอย่างดี.
• ทำงานภายใต้ภาวะความกดดันและแก้ไขปัญหาเฉพาะหน้าได้ดี.
• มีทัศนคติที่ดี และการทำงานร่วมกันกับทีมงานที่เกี่ยวข้องเพื่อความสำเร็จของงาน.

ทักษะ:

Statistics, Big Data, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

SQL, Tableau, Power BI

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Statistical Knowledge.
• Mathematical Ability.
• Programming languages, such as SQL.
• Analytic tools such as Tableau, Power BI.
• TeraData, Big data Hadoop Tech, Cloud Tech.
• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Experienced in designing and architecture BI / Data Analytics Solutions is preferred.

ทักษะ:

Express

ประเภทงาน:

งานประจำ

• Report Creation: Prepare and compile summary reports for management, presenting key workforce data insights in a clear and concise manner.
• Data Support: Assist in gathering, cleaning, and organizing data to support accurate reporting and dashboard updates.
• Documentation and Coordination: Maintain data-related documentation and coordinate with the data analyst to ensure timely and accurate reporting for decision-making.
• Requirements: Bachelor s degree in Business, Data analytics, Operations Management, or a related field.
• Fresh grad are welcome.
• Proficiency in creating professional summary reports using Google Sheets & Slides.
• Strong ability to ensure data accuracy and present findings clearly and effectively.
• Capable of managing multiple tasks, tracking data updates, and adhering to tight deadlines.
• Ability to convey data insights effectively to management and collaborate with the data analyst.

ทักษะ:

Business Development, Statistics, SQL

ประเภทงาน:

งานประจำ

• Develop and lead a cross-business data strategy roadmap, aligned with PTG's growth objectives across both Oil and Non-Oil sectors.
• Partner with business units (e.g., Fuel Retail, Food Services, Logistics, Membership, CRM) to uncover customer insights, market opportunities, and operational efficiencies through data.
• Lead deep-dive analyses using data to identify new revenue streams, improve customer retention, and support strategic decisions.
• Act as a business translator - turning complex data into strategic insights that can be clearly communicated and executed by non-technical teams.
• Collaborate with internal teams (Data Engineering, BI, Data Science) to ensure data solutions are relevant, scalable, and integrated with business needs.
• Evaluate and prioritize data-led initiatives that create tangible business impact or cost optimization.
• Support new business development by identifying trends and growth opportunities through customer, product, and market data.
• Champion a data-first culture across PTG s ecosystem, encouraging business units to embed data into their decision-making processes.
• Define performance metrics and impact KPIs for strategic initiatives, ensuring continuous improvement and visibility to leadership.
• Bachelor s or Master s degree in Statistics, Analytics, Mathematics, Engineering, Business, Economics, or related field.
• 8+ years of experience in data strategy, analytics, or business development, ideally within large organizations or cross-sector environments.
• Strong foundation in statistical thinking, logic, and analytical problem-solving.
• Proven ability to convert data into business outcomes, ideally across different business verticals.
• Experience in managing and influencing senior stakeholders across business functions.
• Proficient in data tools and languages such as SQL, Python/R, Tableau, Power BI, or equivalent.
• Strong business judgment with experience working at the intersection of data, strategy, and commercial growth.
• Excellent communication and data storytelling skills; able to simplify complex topics for executive stakeholders.
• Experience in Retail or Multi-Business Conglomerates.
• Background in consulting, corporate strategy, or innovation-led roles.
• Familiarity with customer lifecycle analytics, loyalty programs, or CRM data.

ประเภทงาน:

งานประจำ

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
• We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
• Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
• Utilize SQL to perform complex queries, data extraction, and manipulation.
• Analyze and interpret large datasets to identify trends and insights that drive business decisions.
• Ensure data quality, integrity, and security across all managed databases.
• Collaborate with cross-functional teams to understand data needs and deliver effective data management
• solutions.
• Implement and monitor data management policies and procedures.
• Optimize database performance and troubleshoot issues as they arise.
• Leverage big data technologies such as Spark to process and analyze large datasets.
• Develop and maintain ETL processes to ensure seamless data flow between systems.
• Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
• Required Skills and Qualifications
• Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
• Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
• Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
• Database management systems: Hands-on experience with systems like MySQL.
• Big data technologies: Experience with technologies such as Spark.
• Python programming: Proficiency in Python for data manipulation and analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and commitment to maintaining high data quality standards.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
• Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role
• Additional Requirements
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".